items would include data links, actual data, published papers of specific interest, analytical efforts, links to 'resource oriented' websites.
the idea of this thread is to provide easy and quick access to materials to everyone as well as show the overview of what is out there which relevantly relates to the china study and the china project.
(it should not be confused with Repository for relevant publications thread which is specifically for peer reviewed articles relating to animal protein consumption and health)
in friendship,
prad
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Replies
1) campbell's initial response to the present china study criticism posted on tynan's blog:
http://www.30bananasaday.com/xn/detail/2684079:Comment:630422
2) campbell's second more thorough response specifically addressed to minger:
http://campbellcoalition.com/?p=142
3) veganmama's excellent summary of #2:
http://www.30bananasaday.com/xn/detail/2684079:Comment:645693
in friendship,
prad
http://campbellcoalition.com/
is a decent site with a worthwhile initiative. it appears to be run by one of colin's other sons, nelson, who makes some very find statements there.
the coalition has ambitious plans that many of us are likely to want to support enthusiastically, so take a look at the various sections as well as the blog which allows commentary. you can also sign up for their newsletter.
in friendship,
prad
You can find a brief overview of the China Project here.
In brief, the China Project was an effort to collect dietary, lifestyle, and disease characteristics in Chinese populations during the early and late 1980's. It was motivated by the observations that 1) a "Western" diet was strongly correlated with colon and breast cancer, and 2) migrant populations often acquired the cancer risk of the country to which they migrated. The China Project is ecologic in design in that rates of disease were obtained at the county-level; therefore, although individual-level data were collected, county-specific summary statistics (eg. average) for each participating county in China were used in the analysis.
The China Project can be separated into two separate studies:
China Study I (1983-1984 survey)
Data for this study include blood, urine, and food samples, as well as questionnaire and 3-day diet information for a total of 6500 people in 65 counties in rural China were collected in 1983-1984. Data for 1973-1975 mortality rates for nearly 50 kinds of cancers and other disease were obtained.
China Study II (1989-1990 survey)
The same 65 counties and 6500 individuals from Study I were re-surveyed in 1989-1990. Twenty new counties in mainland China and Taiwan were added, resulting in a total of 10,200 participants. Mortality data for 1986-1988 were obtained as well.
The China Project Data
All data are in comma-delimited format, which means commas separate the values for each variable. Each column represents a variable. The first 3 columns/variables in every data set are:
County = the Chinese county surveyed
Sex = M (male), F (female), T (both)
Xiang = the village within each county that was surveyed
1 (village 1), 2 (village 2), 3 (both villages)
Data files for Study I (1983-1984)
CH83M.CSV: 1973-1975 mainland mortality rates, provided for ages 0-34 and 35-69
CH83PRU.CSV: mainland plasma, red blood cell, and urine variables (eg. average cholesterol)
CH83DG.CSV: mainland data for diet and geographic variables (eg. animal protein)
CH83Q.CSV: mainland questionnaire data (eg. smoking habits)
Data files for Study II (1989-1990)
CH89M.CSV: 1986-1988 mainland mortality rates, provided for ages 0-34 and 35-69
CH89PRU.CSV: mainland data for plasma, red blood cell, and urine variables
CH89DG.CSV: mainland data for diet and geographic variables
CH89Q.CSV: mainland questionnaire data
CHTAIM.CSV: 1986-1988 Taiwan mortality rates, provided for ages 0-34 and 35-69
CHTAIPRU.CSV: Taiwan plasma, red blood cell, and urine variables
CHTAIQ.CSV: Taiwan questionnaire data
Additional files
CH93PRU.CSV: 1993 mainland plasma, red blood cell, and urine variables
CH93Q.CSV: 1993 mainland plasma, red blood cell, and urine variables
Data dictionary
CHNAME.TXT
A data dictionary is a list of all variables, including their variable name (eg. M030=liver cancer mortality for ages 0-34) and variable description. This information is vital to an understanding of the data and what each variable name represents. Note that mortality variables start with "M", diet variables start with "D", plasma/blood/urine variables start with "P"/"R"/"U", and questionnaire variables start with "Q".
Important note
Many variables are missing sex-specific and/or village-specific data. Therefore, it is recommended that all analyses are restricted to sex=T (i.e., both sexes) and xiang=3 (i.e., both villages).
the links and the descriptions should provide an excellent roadmap from which people can get their bearings!
in friendship,
prad